CN105548949B - The fault remote determination methods of a kind of intelligent electric energy meter and system thereof - Google Patents
The fault remote determination methods of a kind of intelligent electric energy meter and system thereof Download PDFInfo
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- CN105548949B CN105548949B CN201610061557.5A CN201610061557A CN105548949B CN 105548949 B CN105548949 B CN 105548949B CN 201610061557 A CN201610061557 A CN 201610061557A CN 105548949 B CN105548949 B CN 105548949B
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- 238000004458 analytical method Methods 0.000 description 3
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract
The invention provides fault remote determination methods and the system thereof of a kind of intelligent electric energy meter.Wherein, described fault remote determination methods includes: obtain, by remote communication interface, voltage and the current parameters value that intelligent electric energy meter gathers；Voltage and the current parameters value of acquisition are compared with predetermined threshold value；If voltage or current parameters value exceed predetermined threshold value with described normal value, it is judged that intelligent electric energy meter is in malfunction；Obtain the position of the intelligent electric energy meter being in malfunction and gather some influence factor's situations of opposite position；According to described influence factor's situation, compare with default historical data base, it is thus achieved that the normal parameter values of corresponding intelligent electric energy meter；Based on described normal parameter values, by default fault verification criterion, it is judged that the fault type of intelligent electric energy meter.The method using comparison expression, it is possible to more reliable judgement electrical energy meter fault, and owing to providing the most detailed basis for estimation and judged result, it is to avoid the one-sidedness of data.
Description
Technical field
The present invention relates to electric energy meter technical field, particularly relate to a kind of intelligent electric energy meter fault remote determination methods and
System.
Background technology
At present, along with the structure of intelligent grid, the popularization of intelligent electric meter and the development of technology, it is possible to achieve for electricity
The Real-time Collection of energy table data and remote analysis etc., such as, carry out verification inspection by telecommunication mode electric power meter
The electric energy meter remote data acquisition scheme that the patent of invention document of survey or Publication No. CN1368777A is mentioned.
But, in the electrical energy meter fault determination methods that existing power consumer is on-the-spot, it is still that traditional manually the arriving of employing
The scene of reaching carries out, to electric energy meter, the mode that detection check judges.This mode needs to expend the substantial amounts of manpower of Utilities Electric Co.
Resource, and the fault of electric energy meter cannot be found timely, the power usage in during fault is difficult to add up, causes user
And the inconvenience of Utilities Electric Co..
Some are also had to directly utilize electric energy meter data, in the method remotely electric energy meter being carried out breakdown judge it addition, existing.
But, this method generally uses unified standard to judge, relatively simple, it is impossible to the fault feelings that well examination is concrete
, there is bigger one-sidedness in condition, it is easy to the situation of wrong report occurs, causes staff to need frequently and goes out to detect, application
Poor effect.
Therefore, prior art need development.
Summary of the invention
In place of above-mentioned the deficiencies in the prior art, the fault that it is an object of the invention to provide a kind of intelligent electric energy meter is remote
Journey determination methods and system thereof, it is intended to solve intelligent electric energy meter malfunction elimination inconvenience in prior art, the easily problem of wrong report.
In order to achieve the above object, this invention takes techniques below scheme:
A kind of fault remote determination methods of intelligent electric energy meter, described fault remote determination methods includes:
Voltage and the current parameters value that intelligent electric energy meter gathers is obtained by remote communication interface；
Voltage and the current parameters value of acquisition are compared with predetermined threshold value；
If voltage or current parameters value exceed predetermined threshold value, it is judged that intelligent electric energy meter is in malfunction；
Obtain the position of the intelligent electric energy meter being in malfunction and gather the relevant to operation of power networks of opposite position
Influence factor's situation；
When gathering relevant to operation of power networks influence factor, the method for employing subregion piecemeal, feeder line section is taked capable to
Mensuration analysis, and search based on fault pervasion, subregion condition outside plus thus form some node-classification collections；
Where it is assumed that each node k includes i series connection part and j load, area power load P, distribution in block
Line power situation is:
According to the described influence factor situation relevant to operation of power networks, compare with default historical data base, it is thus achieved that
The normal parameter values of corresponding intelligent electric energy meter；
Based on normal parameter values, by default fault verification criterion, it is judged that the fault type of intelligent electric energy meter.
The fault remote determination methods of described intelligent electric energy meter, wherein, described method also includes:
When remote communication interface cannot obtain voltage and the current parameters value that intelligent electric energy meter gathers, it is judged that intelligence electric energy
Table is communication failure.
The fault remote determination methods of described intelligent electric energy meter, wherein, described historical data base is especially by such as lower section
Method builds:
To properly functioning intelligent electric energy meter, under specific effect factor, measure its voltage and current parameters value and change thereof
Change curve；
Change influence factor, voltage that repeated measure is corresponding and current parameters value and change curve thereof, it is thus achieved that Ruo Ganzheng
Often parameter value, forms described historical data base.
The fault remote determination methods of described intelligent electric energy meter, wherein, described " according to described influence factor's situation, with
Preset historical data base compare, it is thus achieved that the normal parameter values of corresponding intelligent electric energy meter " step specifically include:
For each influence factor, weighted value is set；
According to weighted value size, after each influence factor is ranked up, by BFS, at described history number
The normal parameter values of corresponding intelligent electric energy meter is obtained according to search in storehouse.
The fault remote determination methods of described intelligent electric energy meter, wherein, described intelligent electric energy meter fault type includes: super
Difference fault, power subsystem fault, defluidization fault, no-voltage fault.
The fault remote of a kind of intelligent electric energy meter judges system, and wherein, described system includes:
Acquisition module, for obtaining, by remote communication interface, voltage and the current parameters value that intelligent electric energy meter gathers；
Comparing module, for comparing voltage and the current parameters value of acquisition with predetermined threshold value；If voltage or electric current
When parameter value exceedes predetermined threshold value, it is judged that intelligent electric energy meter is in malfunction；
Data obtaining module, for obtaining the position of the intelligent electric energy meter being in malfunction and gathering opposite position
The influence factor situation relevant to operation of power networks；
Search module, for according to the described influence factor situation relevant to operation of power networks, with default historical data base
Compare, it is thus achieved that the normal parameter values of corresponding intelligent electric energy meter；
Result output module, for based on normal parameter values, by default fault verification criterion, it is judged that intelligent electric energy meter
Fault type.
The fault remote of described intelligent electric energy meter judges system, and wherein, described result output module is additionally operable to remotely
When communication interface cannot obtain voltage and the current parameters value that intelligent electric energy meter gathers, it is judged that intelligent electric energy meter is communication failure.
The fault remote of described intelligent electric energy meter judges system, and wherein, described system also includes that historical data base builds
Module, for properly functioning intelligent electric energy meter, under specific effect factor, measures its voltage and current parameters value and change thereof
Change curve；And
Change influence factor, voltage that repeated measure is corresponding and current parameters value and change curve thereof, it is thus achieved that Ruo Ganzheng
Often parameter value, forms described historical data base.
The fault remote of described intelligent electric energy meter judges system, and wherein, described search module is additionally operable to:
For each influence factor, weighted value is set；And according to weighted value size, after each influence factor is ranked up,
By BFS, in described historical data base, search obtains the normal parameter values of corresponding intelligent electric energy meter.
Beneficial effect: the fault remote determination methods of a kind of intelligent electric energy meter that the present invention provides and system thereof, first will
Electric energy meter is judged as fault, is then compared by database information, continues through the comparison with data base, determines whether
The fault type of electric energy meter.Due to the method that have employed comparison expression, it is possible to the fault of more structurally sound judgement electric energy meter, Er Qieyou
In providing the most detailed basis for estimation and judged result, it is to avoid the one-sidedness of data, it is possible to well alleviate work about electric power
Personnel's work load in electric energy meter troubleshooting procedure, has a good application prospect.
Accompanying drawing explanation
Fig. 1 is the method flow diagram of the fault remote determination methods of the intelligent electric energy meter of the specific embodiment of the invention.
Fig. 2 is the structured flowchart that the fault remote of the intelligent electric energy meter of the specific embodiment of the invention judges system.
Fig. 3 is the database construction method of the fault remote determination methods of the intelligent electric energy meter of the specific embodiment of the invention
Method flow diagram.
Fig. 4 is the method stream of step S500 of the fault remote determination methods of the intelligent electric energy meter of the specific embodiment of the invention
Cheng Tu.
Detailed description of the invention
The present invention provides fault remote determination methods and the system thereof of a kind of intelligent electric energy meter.For make the purpose of the present invention,
Technical scheme and effect are clearer, clear and definite, and the present invention is described in more detail for the embodiment that develops simultaneously referring to the drawings.Should
Understanding, specific embodiment described herein only in order to explain the present invention, is not intended to limit the present invention.
As it is shown in figure 1, be the fault remote determination methods of a kind of intelligent electric energy meter of the specific embodiment of the invention.Wherein,
Described fault remote determination methods comprises the steps:
S100, the voltage being obtained intelligent electric energy meter collection by remote communication interface and current parameters value.
S200, voltage and the current parameters value of acquisition are compared with predetermined threshold value.
If S300 voltage or current parameters value exceed predetermined threshold value, it is judged that intelligent electric energy meter is in malfunction.
In the running of electric energy meter, generally include the fault such as decompression, defluidization.General, when the work of electric energy meter
When voltage is between the 60%-70% of rated voltage, the metering of electric energy meter starts inaccurate, and under running voltage is further
During fall, electric energy meter will be unable to metering.Therefore, it can by the simple running voltage obtaining current electric energy meter and current parameters
Value completes to preset judgement, it is judged that whether electric energy meter is in normal operating conditions.
Above-mentioned threshold value specifically can be according to the model of actually used electric energy meter, corresponding operating current and work electricity
Pressure is determined.
S400, obtain the position of the intelligent electric energy meter being in malfunction and gather some influence factors of opposite position
Situation.
The malfunction (electric current and voltage parameter) of electric energy meter in fact may be induced by multiple different influence factor,
It is probably normal electricity consumption or improper electricity consumption is caused.Obtain electric energy meter positional information in electrical network, and relevant electricity
Network operation situation will assist in the malfunction analyzing electric energy meter, such as, when the voltage of a certain regional area electrical network occurs abnormal,
When electric energy meter in corresponding region is in malfunction.
S500, according to described influence factor's situation, compare with default historical data base, it is thus achieved that corresponding intelligence
The normal parameter values of electric energy meter.
Owing to influence factor's process of above-mentioned current/voltage and electrical network is continuous print data acquisition, can set
Predetermined collection period.Therefore, it can form above-mentioned historical data base by the way of by acquired data storage classification.
Under existing Electricity Market, the structure of distribution network is the most numerous and diverse, uses common directly data acquisition
Method is in fact difficult to well obtain the data of high-quality.It is therefore possible to use the method for subregion piecemeal, to feeder line section row vector
Method, forms some pieces of districts and analyzes respectively, and combine the search of fault pervasion, and the subregion condition outside plus further promotes
Subregion piecemeal efficiency.
Assume each node k includes i series connection part and j load, area power load P, distribution line in block
Power condition is:
After above-mentioned distribution line power condition determines, Area Node is divided into 3 grades, uses row vector respectively
H1, H2, H3 represent, wherein one-level row vector H1=(1,2,3,4,5,6), two grades of row vectors H2=(2,3,4,7,8), three grades of row
Vector H3=(7,9,10).
Similar Area Node is constituted gathers L={1, and 2,3,4,5,6,7,8,9,10}, after generating minimal path vector, depend on
Numbering and row vector according to node derive acquisition data pattern step by step for comparison.
It combines partition method and vector formation method, in node expert's vector method, builds corresponding model, comments
Estimate.
In historical data base, by methods such as conventional statistical analysis or trend analysiss, it is possible to obtain specific electrical network
Electric energy meter data in situation (or influence factor).
S600, based on described normal parameter values, by default fault verification criterion, it is judged that the failure classes of intelligent electric energy meter
Type.
According to the normal parameter values of above-mentioned acquisition, the method that can be judged by comparison expression, determine the true of electric energy meter
Failure situations, the ofest short duration decompression, disconnected phase, defluidization etc..
Described default fault verification criterion specifically can by the intelligent electric energy meter model of manufacturer production, relevant parameter institute really
Fixed.Such as, every phase current values of the electric energy meter of acquisition is compared with the 0.3% of load current value, when every phase current values is less than institute
When stating the 0.3% of load current value, it is determined that for no-voltage fault.
Or the every phase voltage value obtained is compared with the 75% of load voltage value, if being more than, it can be determined that for non-
No-voltage fault etc..
Concrete, described intelligent electric energy meter fault type may include that overproof fault, power subsystem fault, defluidization fault,
No-voltage fault.Every kind of fault has its corresponding judgment mode, the electric energy meter work operational factor that it is specifically given by producer
Determined.
It is preferred that described method also includes:
When remote communication interface cannot obtain voltage and the current parameters value that intelligent electric energy meter gathers, it is judged that intelligence electric energy
Table is communication failure.
In the case of cannot obtaining data, background system cannot be carried out effectively analyzing operation.Therefore, it is determined that for communication
Fault is also keeped in repair as early as possible, recovers telecommunication timely and data acquisition is maximally efficient method.
Concrete, as it is shown on figure 3, described historical data base specifically can build by the following method:
A100, to properly functioning intelligent electric energy meter, under specific effect factor, measure its voltage and current parameters value and
Its change curve.
A200, change influence factor, voltage that repeated measure is corresponding and current parameters value and change curve thereof, it is thus achieved that if
Dry normal parameter values, forms described historical data base.
The building mode of above-mentioned historical data can be set up in the middle of for the daily monitoring of properly functioning electric energy meter.?
During day-to-day operation, influence factor also changes constantly occurring, and therefore, whole system can be continuous in running
Abundant data base, and without extra experimental implementation, it is possible to well reduce the labor intensity of operator.
More specifically, described " according to described influence factor's situation, compare with default historical data base, it is thus achieved that phase
The normal parameter values of corresponding intelligent electric energy meter " step specifically include:
S510, weighted value is set for each influence factor.
S520, foundation weighted value size, after being ranked up each influence factor, by BFS, described
In historical data base, search obtains the normal parameter values of corresponding intelligent electric energy meter.
BFS is from certain summit, then finds out all with this node adjacent, is not accessed for
Node also repeats to the searching method having accessed all of node.
After arranging weighted value for influence factor, can be layered influence factor, the influence factor that influence degree is big puts
In higher level, it is done first search, thus obtains effective Search Results faster.
According to weight, arrangement forms queue queue.Then a node is first taken out from queue heads, it may be judged whether meet expansion
Exhibition rule.If meeting extension rule, produce a new node.Add new node in the queue tail of queue.
Following table is that the matrix of figure represents:
General, for the breakdown judge of intelligent electric energy meter, connecting each other between its various factors is less,
Degree of correlation is the highest.Therefore, the result using the method search of BFS to obtain more can meet the demand of reality.
After having judged, can further verify the reliability of the breakdown judge result of intelligent electric energy meter.By complicated electricity
The switching node that energy table position in distribution network is equivalent in regional area, row vector method, analyze it by graph model and sentence
The reliability of disconnected result.
The fault remote that present invention also offers a kind of intelligent electric energy meter judges system.Wherein, as in figure 2 it is shown, described system
System includes:
Acquisition module 100, for obtaining, by remote communication interface, voltage and the current parameters value that intelligent electric energy meter gathers；
Comparing module 200, for comparing voltage and the current parameters value of acquisition with predetermined threshold value；If voltage or current parameters value
When exceeding predetermined threshold value, it is judged that intelligent electric energy meter is in malfunction；Data obtaining module 300, is in fault shape for acquisition
The position of the intelligent electric energy meter of state also gathers some influence factor's situations of opposite position；Search module 400, for according to institute
State influence factor's situation, compare with default historical data base, it is thus achieved that the normal parameter values of corresponding intelligent electric energy meter
And result output module 500, for based on described normal parameter values, by default fault verification criterion, it is judged that Intelligent electric
The fault type of energy table.
Concrete, described result output module 500 is additionally operable to, and cannot obtain intelligent electric energy meter collection at remote communication interface
Voltage and during current parameters value, it is judged that intelligent electric energy meter is communication failure.
It is preferred that as in figure 2 it is shown, described system also includes that historical data base builds module 600, for properly functioning
Intelligent electric energy meter, under specific effect factor, measure its voltage and current parameters value and change curve thereof；And change impact
Factor, voltage that repeated measure is corresponding and current parameters value and change curve thereof, it is thus achieved that some normal parameter values, formed described
Historical data base.
More specifically, described search module 400 is additionally operable to: arrange weighted value for each influence factor；And according to weight
Value size, after being ranked up each influence factor, by BFS, in described historical data base, search obtains phase
The normal parameter values of corresponding intelligent electric energy meter.
It is understood that for those of ordinary skills, can according to technical scheme and this
Bright design in addition equivalent or change, and all these change or replace the guarantor that all should belong to appended claims of the invention
Protect scope.
Claims (9)
1. the fault remote determination methods of an intelligent electric energy meter, it is characterised in that described fault remote determination methods includes:
Voltage and the current parameters value that intelligent electric energy meter gathers is obtained by remote communication interface；
Voltage and the current parameters value of acquisition are compared with predetermined threshold value；
If voltage or current parameters value exceed predetermined threshold value, it is judged that intelligent electric energy meter is in malfunction；
Obtain the position of the intelligent electric energy meter being in malfunction and gather the impact relevant to operation of power networks of opposite position
Constraints；
When gathering the influence factor relevant to operation of power networks, the method using subregion piecemeal, feeder line section is taked row vector method
Analyze, and search based on fault pervasion, subregion condition outside plus thus form some node-classification collections；
According to the described influence factor situation relevant to operation of power networks, compare with default historical data base, it is thus achieved that relatively
The normal parameter values of the intelligent electric energy meter answered；
Based on normal parameter values, by default fault verification criterion, it is judged that the fault type of intelligent electric energy meter.
The fault remote determination methods of intelligent electric energy meter the most according to claim 1, it is characterised in that described method is also wrapped
Include:
When remote communication interface cannot obtain voltage and the current parameters value that intelligent electric energy meter gathers, it is judged that intelligent electric energy meter is
Communication failure.
The fault remote determination methods of intelligent electric energy meter the most according to claim 1, it is characterised in that described historical data
Storehouse builds especially by following method:
To properly functioning intelligent electric energy meter, under specific effect factor, measure its voltage and current parameters value and change song thereof
Line；
Change influence factor, voltage that repeated measure is corresponding and current parameters value and change curve thereof, it is thus achieved that some normal ginsengs
Numerical value, forms described historical data base.
The fault remote determination methods of intelligent electric energy meter the most according to claim 1, it is characterised in that according to described and electric
Influence factor's situation that network operation is relevant, compares with default historical data base, it is thus achieved that corresponding intelligent electric energy meter
The step of normal parameter values specifically includes:
For each influence factor, weighted value is set；
According to weighted value size, after each influence factor is ranked up, by BFS, at described historical data base
Middle search obtains the normal parameter values of corresponding intelligent electric energy meter.
The fault remote determination methods of intelligent electric energy meter the most according to claim 1, it is characterised in that described intelligence electric energy
Table fault type includes: overproof fault, power subsystem fault, defluidization fault, no-voltage fault.
6. the fault remote of an intelligent electric energy meter judges system, it is characterised in that described system includes:
Acquisition module, for obtaining, by remote communication interface, voltage and the current parameters value that intelligent electric energy meter gathers；
Comparing module, for comparing voltage and the current parameters value of acquisition with predetermined threshold value；If voltage or current parameters
When value exceedes predetermined threshold value, it is judged that intelligent electric energy meter is in malfunction；
Data obtaining module, for obtain the position of the intelligent electric energy meter being in malfunction and gather opposite position with electricity
Influence factor's situation that network operation is relevant；
Search module, for according to the described influence factor situation relevant to operation of power networks, is carried out with default historical data base
Comparison, it is thus achieved that the normal parameter values of corresponding intelligent electric energy meter；
Result output module, for based on normal parameter values, by default fault verification criterion, it is judged that the event of intelligent electric energy meter
Barrier type.
The fault remote of intelligent electric energy meter the most according to claim 6 judges system, it is characterised in that described result exports
Module is additionally operable to when remote communication interface cannot obtain voltage and the current parameters value that intelligent electric energy meter gathers, it is judged that Intelligent electric
Can table be communication failure.
The fault remote of intelligent electric energy meter the most according to claim 6 judges system, it is characterised in that described system is also wrapped
Include historical data base and build module, for properly functioning intelligent electric energy meter, under specific effect factor, measure its voltage and
Current parameters value and change curve thereof；And
Change influence factor, voltage that repeated measure is corresponding and current parameters value and change curve thereof, it is thus achieved that some normal ginsengs
Numerical value, forms described historical data base.
The fault remote of intelligent electric energy meter the most according to claim 6 judges system, it is characterised in that described search module
It is additionally operable to:
For each influence factor, weighted value is set；And according to weighted value size, after each influence factor is ranked up, pass through
BFS, in described historical data base, search obtains the normal parameter values of corresponding intelligent electric energy meter.
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| CN112415465A (en) * | 2020-10-21 | 2021-02-26 | 国网江苏省电力有限公司盐城供电分公司 | Remote electric energy meter fault detection and identification system |
| CN112595933A (en) * | 2021-03-08 | 2021-04-02 | 国网山东省电力公司昌乐县供电公司 | Power distribution network fault positioning system and method |
| CN113949618B (en) * | 2021-09-01 | 2023-08-29 | 安徽电信规划设计有限责任公司 | Communication fault early warning system based on big data |
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| CN102508185A (en) * | 2011-10-26 | 2012-06-20 | 深圳市科陆电子科技股份有限公司 | Method for monitoring measurement abnormality of main station side based on electric energy information acquisition system |
| WO2014048538A1 (en) * | 2012-09-25 | 2014-04-03 | Landis+Gyr Oy | Device, arrangement and method for verifying the operation of electricity meter |
| CN102928808A (en) * | 2012-10-29 | 2013-02-13 | 江苏省电力公司常州供电公司 | Power consumer on-site electric energy meter fault remote judging method |
| CN102928809A (en) * | 2012-10-29 | 2013-02-13 | 江苏省电力公司常州供电公司 | Electric energy metering device remote monitoring diagnostic system and working method thereof |
| CN104730487A (en) * | 2013-12-18 | 2015-06-24 | 国家电网公司 | Monitoring device of electric energy meter |
| CN104360208A (en) * | 2014-12-05 | 2015-02-18 | 国家电网公司 | Acquisition failure analyzing and processing method of electricity utilization information acquisition operating and maintaining system |
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